基于高光谱的不同人类干扰程度下荒漠土壤有机质含量估算模型

摘要/Abstract

摘要： 为对比同一背景下不同人类干扰程度的荒漠土壤有机质含量的预测模型，以天山北麓阜康市的土壤为研究对象，通过对无人干扰区、人为干扰区全样本和剔除有机质质量分数大于2%的样点的原始光谱反射率进行6种光谱变换，分析不同变换形式与有机质含量的相关性，以相关系数通过P=0.01和0.05水平上显著性检验的敏感波段为自变量，运用多元逐步回归、偏最小二乘回归以及主成分回归法分别建立了无人干扰区、人为干扰区土壤有机质高光谱的预测模型，并选择精度最高的为最优模型。结果表明：（1）无人干扰区与人为干扰区的原始光谱所有波段与有机质含量的相关性都没有通过0.01水平的显著性检验。将有机质质量分数大于2%的样点剔除后，有机质含量与原始光谱反射率的相关系数都大于全样本且有部分波段通过了0.01水平的显著性检验。（2）不论采用何种方法建立的全样本无人干扰区和人为干扰区的预测有机质模型的RPD均小于1.4，不具有预测有机质含量的能力。其中全样本无人干扰区一阶微分、人为干扰区倒数一阶微分多元逐步回归模型是其所有模型中，建模精度最高的，R²分别为0.652、0.512，但是其RPD仅分别是0.662、0.655，表明模型的预测能力很差。（3）剔除有机质质量分数大于2%的样点之后，预测效果最好的是无人干扰区一阶微分多元逐步回归模型，R²达到0.776，RMSE为1.408，RPD为2.136；而人为干扰区的二阶微分模型预测效果最优，R²为0.542，RMSE为2.261，RPD为2.087。

关键词: 干扰程度, 荒漠土, 有机质, 估算模型

Abstract: In order to compare the estimation models about the organic matter in desert soil at different levels of human disturbance under the same background,this study took the soil in Fukang City,which is at the north of Tianshan Mountains,as the study object and established the hyperspectral-based soil organic matter (SOM) estimation models for soils in the undisturbed area and in the human-disturbed area respectively using the multiple stepwise regression,partial least squares regression and principal component regression method after 6 spectral transformations of the original spectral reflectance.The correlation between the transformation and the SOM was analyzed using the sensitive bands as the independent variables which had passed the P=0.01 and 0.05 level of significance test.The results indicated as follows:(1) All the correlation coefficients between the original spectral bands and the SOM in both the undisturbed area and human-disturbed area did not pass the 0.01 level of significance test.After removing the samples with the mass fraction being greater than 2%,the correlation coefficients were bigger than those concerning all samples and a portion of the bands had passed the 0.01 level of significance test. (2) Regardless of the method in establishing the SOM estimation model for the full sample size in undisturbed area or in human-disturbed area,the RPD of the models were less than 1.4 which indicated they were not capable of predicting organic content.The first order differential model for all samples in the undisturbed area,and the first order differential multiple stepwise regression model of the reciprocals in the human-disturbed area had the highest precision among all the models with R² being 0.652 and 0.512 respectively.(3) After removing the samples whose mass fraction were greater than 2%,for the undisturbed area the best estimation model was the first order differential multiple stepwise regression model with R² being 0.776,the RMSE being 1.408,and RPD,2.136; for the human-disturbed area,the second-order differential model was optimal with R² being 0.542,the RMSE being 2.261 and RPD,2.087.

Key words: level of human disturbance, desert soil, organic matter, estimation models

中图分类号:

S153.6

郑曼迪, 熊黑钢, 乔娟峰, 刘靖朝. 基于高光谱的不同人类干扰程度下荒漠土壤有机质含量估算模型[J]. 干旱区地理, 2018, 41(2): 384-392.

ZHENG Man-di, XIONG Hei-gang, QIAO Juan-feng, LIU Jing-chao. Hyperspectral based estimation model about organic matter in desert soil at different levels of human disturbance[J]. 干旱区地理, 2018, 41(2): 384-392.

参考文献

[1] 方少文,杨梅花,赵小敏,等.红壤区土壤有机质光谱特征与定量估算——以江西省吉安县为例[J].土壤学报,2014,51(5):1003-1010.[FANG Shaowen,YANG Meihua,ZHAO Xiaomin,et al.Spectral characteristics and quantitative estimation of SOM in red soil typical of Ji'an Country,Jiangxi Province[J].Acta Pedologica Sinica,2014,51(5):1003-1010.]
[2] ROSSEL R A V,WEBSTER R.Predicting soil properties from the Australian soil visible-near infrared spectroscopic database[J].Euroean Journal of Soil Science,2012,63(6):848-860.
[3] 武志杰.人类生产活动对土壤生态系统的影响[J].生态学杂志,1993,12(4):47-51.[WU Zhijie.Influence of human activity on soil ecosystem[J].Chinese Journal of Ecology,1993,12(4):47-51.]
[4] 程朋根,吴剑,李大军,等.土壤有机质高光谱遥感和地统计定量预测[J].农业工程学报,2009,25(3):142-147.[CHENG Penggen,WU Jian,LI Dajun,et al.Quantitative prediction of soil organic matter content using hyper spectral remote sensing and geo-statistics[J].Transactions of the CSAE,2009,25(3):142-147.]
[5] 王静,何挺,李玉环.基于高光谱遥感技术的土地质量信息挖掘研究[J].遥感学报,2005,9(4):438-445.[WANG Jing,HE Ting,LI Yuhuan.Studying on extraction methods for land quality information based on hyperspectral data[J].Journal of Remote Sensing,2005,9(4):438-445.]
[6] 张法升,曲威,尹光华,等.基于多光谱遥感影像的表层土壤有机质空间格局反演[J].应用生态学报,2010,21(4):883-888.[ZHANG Fasheng,QU Wei,YIN Guanghua,et al.Spatial pattern of surface soil organic matter based on remotely sensed multispectral image[J].Chinese Journal of Applied Ecology,2010,21(4):883-888.]
[7] 张文娟,王绍强,常华,等.遥感在土壤碳储量估算中的应用[J].地理科学进展,2005,24(3):118-126.[ZHANG Wenjuan,WANG Shaoqiang,CHANG Hua,et al.Application of remote sensing technique in soil carbon storage researches[J].Progress in Geography.2005,24(3):118-126.]
[8] BOWERS S A,HANKS R J.Reflectance of radiant energy from soils[J].Soil Science,1965,100(2):130-138.
[9] LIU H J,ZHANG Y Z,ZHANG B,et al.Novel hyper-spectral reflectance models for estimating black-soil organic matter in northeast China[J].Environmental Monitoring and Assessment,2009,154(1/4):147-154.
[10] 廖钦洪,顾晓鹤,李存军,等.基于连续小波变换的潮土有机质含量高光谱估算[J].农业工程学报,2012,28(23):132-139.[LIAO Qinhong,GU Xiaohe,LI Cunjun,et al.Estimation of fluvo-aquic soil organic matter content from hyperspectral reflectance based on continuous wavelet transformation[J].Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2012,28(23):132-139.]
[11] 张娟娟,田永超,朱艳,等.不同类型土壤的光谱特征及其有机质含量预测[J].中国农业科学,2009,42(9):3154-3163.[ZHANG Juanjuan,TIAN Yongchao,ZHU Yan,et al.Spectral characteristics and estimation of organic matter contents of different soil types[J].Scientia Agricultura Sinica,2009,42(9):3154-3163.]
[12] 田永超,张娟娟,姚霞,等.基于近红外光声光谱的土壤有机质含量定量建模方法[J].农业工程学报,2012,28(1):145-152.[TIAN Yongchao,ZHANG Juanjuna,YAO Xia,et al.Quantitative modeling method of soil organic matter content based on near-infrared photoacoustic spectroscopy[J].Transactions of the CSAE,2012,28(1):145-152.]
[13] 张林静,岳明,张远东,等.新疆阜康绿洲荒漠过渡带植物群落物种多样性特征[J].地理科学,2003,23(3):329-334.[ZHANG Linjing,YUE Ming,ZHANG Yuandong,et al.Characteristics of plant community species diversity of oasis desert ecotone in Fukang,Xinjiang[J].Scientia Geographica Sinica,2003,23(3):329-334.]
[14] 黄安,杨联安,杜挺,等.基于多元成土因素的土壤有机质空间分布分析[J].干旱区地理.2015,38(5):994-1003.[HUANG An,YANG Lian'an,DU Ting,et al.Spatial distribution of the soil organic matter based on multiple soil factors[J].Arid Land Geography,2015,38(5):993-1003.]
[15] 栾福明,熊黑钢,王芳,等.基于小波分析的土壤速效K含量高光谱反演[J].干旱区地理,2015,38(2):321-326.[LUAN Fuming,XIONG Heigang,WANG Fang,et al.Inversion of soil available kalium content with hyperspectral reflectance based on wavelet analysis[J].Arid Land Geography,2015,38(2):321-326.]
[16] 李萍,赵庚星,高明秀,等.黄河三角洲土壤含水量状况的高光谱估测与遥感反演[J].土壤学报,2015,52(6):1262-1272.[LI Ping,ZHAO Gengxing,GAO Mingxiu,et al.Hyperspectral estimation and remote sensing retrireval of soil water regime in the Yellow River Delta[J].Acta Pedologica Sinica,2015,52(6):1262-1272.]
[17] VISCARRA R V,MCGLYN R N,MCBRATNEY A B.Determining the composition of mineral-organic mixes using UV-VIS-NIR diffuse reflectance spectroscopy[J].Geoderma,2006,137(1/2):70-82.
[18] 习阿幸,刘志辉,徐倩,等.基于高光谱数据的天山北坡积雪孔隙率反演研究[J].干旱区地理,2015,38(6):1253-1261.[XI Axing,LIU Zhihui,XU Qian,et al.Retrieval method for estimating snow porosity in the northern slope of Tianshan Mountains based on hyperspectral data[J].Arid Land Geography,2015,38(6):1253-1261.]
[19] 郑昭佩,刘新作.土壤质量及其评价[J].应用生态学报,2003,14(1):131-134.[ZHENG Zhaopei,LIU Xinzuo.Soil quality and its evaluation[J].Chinese Journal of Applied Ecology,2003,14(1):131-134.]
[20] 何挺,王静,林宗坚,等.土壤有机质光谱特征研究[J].武汉大学学报(信息科学版),2006,31(11):975-979.[HE Ting,WANG Jing,LIN Zongjian,et al.Spectral features of soil organic matter[J].Geomatics and Information Science of Wuhan University,2006,31(11):975-979.]
[21] 陈祯.不同土壤含水率、体积质量及光谱反射率的关系模型[J].农业工程学报,2012,28(4):76-81.[CHEN Zhen.Relationship model among water content,bulk density and reflectivity of different soil[J].Transactions of the CSAE,2012,28(4):76-81.]
[22] 曹晓阳,穆悦,曹晓明,等.基于高光谱数据的戈壁地表砾石粒径反演研究[J].干旱区地理,2017,40(2):397-404.[CAO Xiaoyang,MU Yue,CAO Xiaoming,et al.Grain size retrieving of gobi surface based on hyperspectral data[J].Arid Land Geography,2017,40(2):397-404.]
[23] 唐明义,冯明光.DPS数据处理系统[M].北京:科学出版社,2007.[TANG Mingyi,FENG Mingguang.DPS data processing system[M].Beijing:Science Press,2007.]
[24] 杜培军,陈云浩,方涛,等.高光谱遥感数据光谱特征的提取与应用[J].中国矿业大学学报,2003,32(5):34-38.[DU Peijun,CHEN Yunhao,FANG Tao,et al.Study on the extraction and applications of spectral features in hyperspectral remote sensing[J].Journal of China University of Mining & Technology.2003,32(5):34-38.]